The experiments in this paper are deployed in paralel using 4 NVIDIA GeForce RTX 2080Ti GPUs. For all models, the batch size is set for 2 images for each GPUs. Open source MMDetection[1]} toolbox is utilized for training of VFNet and TOOD architectures. While training of these architectures, default hyper-parameters and original augmentation strategies are utilized. YOLOR-P6 architecture is trained using the official GitHub repository [2]}, which is provided by the authors. In a similar manner, default settings are utilized for training of YOLOR-P6. All experiments are run for 100 epochs.
